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How Reliable are the Deep Learning-based Anomaly Detectors?..:
, In:
2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN)
,
Hussain, Manzoor
;
Suh, Jae-Won
;
Seo, Bo-Seok
. - p. 317-322 , 2023
Link:
https://doi.org/10.1109/ICUFN57995.2023.10199315
RT T1 <cTitle>2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN)</cTitle>: T1 <Title>How Reliable are the Deep Learning-based Anomaly Detectors? A Comprehensive Reliability Analysis of Autoencoder-based Anomaly Detectors</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10199315&Exemplar=1&LAN=DE A1 Hussain, Manzoor A1 Suh, Jae-Won A1 Seo, Bo-Seok A1 Hong, Jang-Eui YR 2023 SN 2165-8536 K1 Measurement K1 Perturbation methods K1 Detectors K1 Speckle K1 Reliability theory K1 Reliability engineering K1 Reliability K1 Anomaly Detection K1 Autoencoders K1 Deep Learning K1 Safety SP 317 OP 322 LK http://dx.doi.org/https://doi.org/10.1109/ICUFN57995.2023.10199315 DO https://doi.org/10.1109/ICUFN57995.2023.10199315 SF ELIB - SuUB Bremen
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